Automatically Generated Problem-tailored Genetic Algorithms

Automatically Generated Problem-tailored Genetic Algorithms 

At ACA, a prototype metasystem GENACAT implementing the outlined approach is under development. In the remainder of this section, the structure and key functionality of that metasystem are briefly sketched. 

The proportion (either molar, or the weight-proportion) of any component within the catalyst or within any class of the component types hierarchy, optionally also the proportion of any class of the component types hierarchy within any higher class. 

The ratio between particular proportions, no matter the proportions of which and within which they are (e.g., proportion of active components within the catalyst to the proportion of support within the catalyst=l 5 proportion of Ga within the active components to the proportion of Mo within the active components ). 

Equality and inequality constraints on any proportion or any group of proportions (e.g., 80% proportion of support within the catalyst 90%, the proportion of Mg within the active components + the proportion of Mn within the active components =50%). 

---

Automatically Generated Problem-tailored Genetic Algorithms... 

Fig. 6.6 Schema of the metasystem automatically generating problem-tailored genetic algorithms being developed at ACA.

---